Deep‐learning‐based seizure detection and prediction from electroencephalography signals-Reference-Cited by-同舟云学术

Deep‐learning‐based seizure detection and prediction from electroencephalography signals

Published:2022-05-13 Issue:6 Volume:38 Page:
ISSN:2040-7939
Container-title:International Journal for Numerical Methods in Biomedical Engineering
language:en
Short-container-title:Numer Methods Biomed Eng

Author:

Ibrahim Fatma E.¹,Emara Heba M.¹,El‐Shafai Walid¹²^ORCID,Elwekeil Mohamed¹³,Rihan Mohamed¹³^ORCID,Eldokany Ibrahim M.¹,Taha Taha E.¹,El‐Fishawy Adel S.¹,El‐Rabaie El‐Sayed M.¹,Abdellatef Essam⁴,Abd El‐Samie Fathi E.¹⁵

Affiliation:

1. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering Menoufia University Menouf Egypt

2. Security Engineering Lab, Computer Science Department Prince Sultan University Riyadh Saudi Arabia

3. Department of Electrical and Information Engineering (DIEI) University of Cassino and Southern Lazio Cassino 03043 Italy

4. Delta Higher Institute for Engineering and Technology (DHIET) Mansoura Egypt

5. Department of Information Technology College of Computer and Information sciences, Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia

Publisher

Wiley

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Modeling and Simulation,Biomedical Engineering,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cnm.3573

Reference57 articles.

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2. The burden of premature mortality of epilepsy in high-income countries: A systematic review from the Mortality Task Force of the International League Against Epilepsy

3. Epileptic Seizures Detection Using Deep Learning Techniques: A Review

4. Practical Biomedical Signal Analysis Using MATLAB

5. Automated seizure prediction

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